A Practical Traffic Scheduling Scheme for Differentiated Services of Healthcare Systems on Wireless Sensor Networks

Kateretse, Cecile; Lee, Ga‐Won; Huh, Eui‐Nam

doi:10.1007/s11277-012-0851-8

Cited by 20 publications

(5 citation statements)

References 11 publications

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“…Innovations and advancements in technology transform and improve the monitoring and managing skills of the healthcare system by using wireless sensor networks (Li 2009 ; Kateretse 2013 ; Yaghmaee 2013 ; Prakash 2019 ), IoT (Kore 2020 ; Kadhim 2020 ), mobile healthcare (Jeong 2014 ), tele homecare system (Dinesen 2009 ), RFID technology (Liao 2016 ), U-Health platform (Jung 2013 ), and sensing technology (Khawaja 2017 ; Simik 2019 ), etc. The impact of covid-19 infections, patients preferred to be treated at home by their healthcare services rather than hospitalised.…”

Section: Literature Reviewmentioning

confidence: 99%

Mutated cuckoo search algorithm for dynamic vehicle routing problem and synchronization occurs within the time slots in home healthcare

Sangeetha

Srinivasan

2021

Int J Syst Assur Eng Manag

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Section: Literature Reviewmentioning

confidence: 99%

Mutated cuckoo search algorithm for dynamic vehicle routing problem and synchronization occurs within the time slots in home healthcare

Sangeetha

Srinivasan

2021

Int J Syst Assur Eng Manag

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“…For each disease, real-time remote monitoring patients who live far from hospitals is an important and essential factor [4], [70]. In monitoring patients, medical sensors measure the vital signs and triage of the patient and prioritize them [71]. Measuring vital signs are useful in monitoring and plays a key role in health-care monitoring [16].…”

Section: B Evaluation Processmentioning

confidence: 99%

Based Multiple Heterogeneous Wearable Sensors: A Smart Real-Time Health Monitoring Structured for Hospitals Distributor

Albahri

Zaidan

et al. 2019

IEEE Access

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This paper proposes a smart real-time health monitoring structured for hospitals' distributor based on wearable health data sensors. Health data were received from multiple heterogeneous wearable sensors, such as electrocardiogram (ECG), oxygen saturation sensor (SpO2), blood pressure monitor, and non-sensory measurement (text frame), from 500 patients with different symptoms. Triage level and healthcare services were identified based on the new four-level remote triage and package localization (4LRTPL). The numbers of healthcare services that represent hospital status were collected from 12 hospitals located in Baghdad city. This study constructed a decision matrix based on the crossover of ''multi-healthcare services'' and ''hospital list'' within Tier 4. The hospitals were then ranked using multicriteria decision-making (MCDM) techniques, namely, integrated analytic hierarchy process (AHP) and vlsekriterijumskaoptimizacija i kompromisnoresenje (VIKOR). Mean ± standard deviation was computed to ensure that the hospital ranking undergoes systematic ranking for objective validation. This research provided scenarios and checklist benchmarking to evaluate the proposed and existing health recommender frameworks. Results corroborated that: 1) the integration of AHP and VIKOR effectively solved hospital selection problems; 2) in the objective validation, significant differences were recognized between the scores of groups, indicating that the ranking results were identical; 3) in evaluation, the proposed framework exhibited an advantage over the benchmark framework with a percentage of 56.25%; and 4) hospitals with multiple healthcare services received the highest ranks, whereas hospitals with fewer healthcare services received low ranks.INDEX TERMS Real-time remote monitoring, hospital management, hospital selection, chronic heart, healthcare services, triage, wearable health sensor.

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“…Table 4 summarizes the disease characteristics considered in our research based on vital signs. We portray motivation and inspiration of classification and prioritization of vital signs of the diseases and identification of the threshold values of the vital signs from a differentiated traffic and scheduling scheme for WBANs [13], high and low threshold criticality based time slot allocation algorithms [14], and efficient channel access scheme for emergency traffic [15]. In Table 5, we summarize and classify the threshold values of vital signs and symptoms taking consideration the Table 4 and order of criticality into low threshold value (LTV), the normal threshold value (NTV), and the high threshold value (HTV).…”

Section: Classification Of the Criticality Level Of Emergency Trafficmentioning

confidence: 99%

A modified WBANs MAC superframe using priority-criticality index table for managing pilgrims’ emergency traffic in Hajj

Masud

Bakar

Yussof

2019

IJEECS

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<p class="MsoNormal" style="text-align: justify;"><span style="font-size: 12pt; line-height: 115%; font-family: 'Times New Roman', serif;">During Hajj, pilgrims suffer from various emergencies that should be managed in a real-time manner thus require deploying emerging technology. Based on our research it is found that the emergency medical circumstances among the pilgrims are due to the criticality level of certain physiological conditions those are by some means rely on five major types of the physiological data rate. Five major data types include heart rate, respiratory rate, body temperature, high or low blood pressure and blood sugar respectively which are obligatory to be transmitted real-time and ahead of other non-critical traffic as delay in its transmission may jeopardise human life. Hence, by the criticality constraints of pilgrims’ physiological data, we primarily perform a traffic classification through literature review. By using classified critical traffic, we define the different priority levels to be used by WBANs hub or coordinator. Therefore, in this research, we apply an analytical method to develop the priority-criticality index table in such a way that there will be no queuing delay in the system. Since our research mainly focuses on to manage the emergency, therefore, for simplicity of critical data transmission, we modified the existing medium access control (MAC) superframe that obtains only one exclusive access period (EAP) slot. The modified MAC superframe structure is to perform efficiently even when more than one emergency traffic from different sensors aggregate to the WBANs coordinator for further transmission to the healthcare stations. </span></p><span style="font-size: 9pt; font-family: 'Times New Roman', serif;"> </span><table class="MsoTableGrid" style="width: 444.85pt; border-collapse: collapse; border: none; mso-border-alt: solid windowtext .5pt; mso-yfti-tbllook: 1184; mso-padding-alt: 0in 5.4pt 0in 5.4pt;" width="593" border="1" cellspacing="0" cellpadding="0"><tbody><tr style="mso-yfti-irow: 0; mso-yfti-firstrow: yes; height: 63.4pt;"><td style="width: 290.6pt; border: none; border-top: solid windowtext 1.0pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; height: 63.4pt;" rowspan="2" valign="top" width="387"><p class="MsoNormal" style="margin-top: 6.0pt; text-align: justify;"><span style="font-size: 9pt;">During Hajj, pilgrims suffer from various emergencies that should be managed in a real-time manner thus require deploying emerging technology. Based on our research it is found that the emergency medical circumstances among the pilgrims are due to the criticality level of certain physiological conditions those are by some means rely on five major types of the physiological data rate. Five major data types include heart rate, respiratory rate, body temperature, high or low blood pressure and blood sugar respectively which are obligatory to be transmitted real-time and ahead of other non-critical traffic as delay in its transmission may jeopardise human life. Hence, by the criticality constraints of pilgrims’ physiological data, we primarily perform a traffic classification through literature review. By using classified critical traffic, we define the different priority levels to be used by WBANs hub or coordinator. Therefore, in this research, we apply an analytical method to develop the priority-criticality index table in such a way that there will be no queuing delay in the system. Since our research mainly focuses on to manage the emergency, therefore, for simplicity of critical data transmission, we modified the existing medium access control (MAC) superframe that obtains only one exclusive access period (EAP) slot. The modified MAC superframe structure is to perform efficiently even when more than one emergency traffic from different sensors aggregate to the WBANs coordinator for further transmission to the healthcare stations. </span></p><p class="MsoNormal" style="margin-top: 6.0pt; text-align: justify;"> </p></td><td style="height: 63.4pt; border: none;" width="0" height="85"> </td></tr><tr style="mso-yfti-irow: 1; mso-yfti-lastrow: yes; height: 61.55pt;"><td style="height: 61.55pt; border: none;" width="0" height="82"> </td></tr></tbody></table>

show abstract

A Practical Traffic Scheduling Scheme for Differentiated Services of Healthcare Systems on Wireless Sensor Networks

Cited by 20 publications

References 11 publications

Mutated cuckoo search algorithm for dynamic vehicle routing problem and synchronization occurs within the time slots in home healthcare

Mutated cuckoo search algorithm for dynamic vehicle routing problem and synchronization occurs within the time slots in home healthcare

Based Multiple Heterogeneous Wearable Sensors: A Smart Real-Time Health Monitoring Structured for Hospitals Distributor

A modified WBANs MAC superframe using priority-criticality index table for managing pilgrims’ emergency traffic in Hajj

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